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				<div class="show-on-large-screens"><h1 class="title display-large">Awesome Dataset Distillation</h1></div>
				<div class="show-on-middle-screens"><h1 class="title display-large">Awesome<br> Dataset Distillation</h1></div>
				<div class="show-on-small-screens"><h1 class="title display-large">Awesome<br> Dataset<br> Distillation</h1></div>
				<div><p class="brief title-large">Awesome Dataset Distillation provides the most comprehensive and detailed information on the Dataset Distillation field.</p></div>
				<div><p class="brief title-large">This project is curated and maintained by <a style="color: black;" href="https://www-lmd.ist.hokudai.ac.jp/member/guang-li/">Guang Li</a>, <a style="color: black;" href="https://www.bozhao.me/">Bo Zhao</a>, and <a style="color: black;" href="https://www.tongzhouwang.info/">Tongzhou Wang</a>.</p></div>
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			<h2 class="section-title display-medium on-background-text">Background & Vision</h2>
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                <p class="background-vision body-large on-surface-variant-text">Dataset distillation is the task of synthesizing a small dataset such that models trained on it achieve high performance on the original large dataset. A dataset distillation algorithm takes as input a large real dataset to be distilled (training set), and outputs a small synthetic distilled dataset, which is evaluated via testing models trained on this distilled dataset on a separate real dataset (validation/test set). A good small distilled dataset is not only useful in dataset understanding, but has various applications (e.g., continual learning, privacy, neural architecture search, etc.). This task was first introduced in the paper <a class="body-large on-surface-variant-text" href="https://www.tongzhouwang.info/dataset_distillation/">Dataset Distillation [Tongzhou Wang et al., '18]</a>, along with a proposed algorithm using backpropagation through optimization steps. Then the task was first extended to the real-world datasets in the paper <a class="body-large on-surface-variant-text" href="https://arxiv.org/abs/2104.02857">Medical Dataset Distillation [Guang Li et al., '19]</a>, which also explored the privacy preservation possibilities of dataset distillation. In the paper <a class="body-large on-surface-variant-text" href="https://arxiv.org/abs/2006.05929">Dataset Condensation [Bo Zhao et al., '20]</a>, gradient matching was first introduced and greatly promoted the development of the dataset distillation field.</p>
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				<p class="background-vision body-large on-surface-variant-text">In recent years (2022-now), dataset distillation has gained increasing attention in the research community, across many institutes and labs. More papers are now being published each year. These wonderful researches have been constantly improving dataset distillation and exploring its various variants and applications.</p>
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            <h2 class="section-title display-medium on-background-text">Latest Updates</h2>

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						<p class="essay-content title-large on-surface-variant-text">2025/1/23</p>
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							<p class="essay-content">Going Beyond Feature Similarity: Effective Dataset Distillation based on Class-aware Conditional Mutual Information</p>
							<p class="title-medium essay-author"><i>Xinhao Zhong et al., ICLR 2025</i></p>
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							<p class="essay-content">Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator</p>
							<p class="title-medium essay-author"><i>Xin Zhang et al., ICLR 2025</i></p>
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							<p class="essay-content">Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks</p>
							<p class="title-medium essay-author"><i>Siddharth Joshi et al., ICLR 2025</i></p>
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Mming11/RobustDatasetDistillation">Group Distributionally Robust Dataset Distillation with Risk Minimization</a></p>
							<p class="title-medium essay-author"><i>Saeed Vahidian & Mingyu Wang & Jianyang Gu et al., ICLR 2025</i></p>
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						<p class="essay-content title-large on-surface-variant-text">2025/1/17</p>
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							<p class="essay-content">Dataset Distillation as Pushforward Optimal Quantization</p>
							<p class="title-medium essay-author"><i>Hongye Tan et al., 2025</i></p>
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							<a href="https://arxiv.org/abs/2501.07681">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Jiacheng8/CV-DD">Dataset Distillation via Committee Voting</a></p>
							<p class="title-medium essay-author"><i>Jiacheng Cui et al., 2025</i></p>
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							<a href="https://arxiv.org/abs/2501.07575">
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						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">FocusDD: Real-World Scene Infusion for Robust Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Youbin Hu et al., 2025</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/hu2025focusdd.txt">
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							</a>
							<a href="https://arxiv.org/abs/2501.06405">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					<li class="edit-date">
						<p class="essay-content title-large on-surface-variant-text">2025/1/8</p>
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					<li><hr class="outline-variant" style="width:96%;text-align:center;"></li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">A Large-Scale Study on Video Action Dataset Condensation</p>
							<p class="title-medium essay-author"><i>Yang Chen et al., 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chen2024video.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2412.21197">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					<li class="edit-date">
						<p class="essay-content title-large on-surface-variant-text">2024/12/13</p>
					</li>
					<li><hr class="outline-variant" style="width:96%;text-align:center;"></li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/sakshamsingh1/AVDD">Audio-Visual Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Saksham Singh Kushwaha et al., TMLR 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/kush2024avdd.txt">
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							</a>
							<a href="https://openreview.net/forum?id=IJlbuSrXmk">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					<li class="edit-date">
						<p class="essay-content title-large on-surface-variant-text">2024/12/10</p>
					</li>
					<li><hr class="outline-variant" style="width:96%;text-align:center;"></li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">FairDD: Fair Dataset Distillation via Synchronized Matching</p>
							<p class="title-medium essay-author"><i>Qihang Zhou et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhou2024fair.txt">
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							</a>
							<a href="https://arxiv.org/abs/2411.19623">
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                </ul>
            </div>

<!--Main Contents-->
			<h2 class="section-title display-medium on-background-text">Content</h2>
			<div class="main-content">
				<!--Put the main list here-->
				<ul>

					<li><h3 class="section-subtitle headline-medium on-background-text" id="main">Main</h3></li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/SsnL/dataset-distillation">Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Tongzhou Wang et al., 2018</i></p>
						</div>
						<div class="button-group">
							<a href="https://ssnl.github.io/dataset_distillation/">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wang2018datasetdistillation.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/1811.10959">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="early">Early Work</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/HIPS/hypergrad">Gradient-Based Hyperparameter Optimization Through Reversible Learning</a></p>
							<p class="title-medium essay-author"><i>Dougal Maclaurin et al., ICML 2015</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/maclaurin2015gradient.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/1502.03492">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="gradient">Gradient/Trajectory Matching Surrogate Objective</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VICO-UoE/DatasetCondensation">Dataset Condensation with Gradient Matching</a></p>
							<p class="title-medium essay-author"><i>Bo Zhao et al., ICLR 2021</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2021datasetcondensation.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2006.05929">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VICO-UoE/DatasetCondensation">Dataset Condensation with Differentiable Siamese Augmentation</a></p>
							<p class="title-medium essay-author"><i>Bo Zhao et al., ICML 2021</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2021differentiatble.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2102.08259">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/georgecazenavette/mtt-distillation">Dataset Distillation by Matching Training Trajectories</a></p>
							<p class="title-medium essay-author"><i>George Cazenavette et al., CVPR 2022</i></p>
						</div>
						<div class="button-group">
							<a href="https://georgecazenavette.github.io/mtt-distillation/">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cazenavette2022dataset.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2203.11932">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/saehyung-lee/dcc">Dataset Condensation with Contrastive Signals</a></p>
							<p class="title-medium essay-author"><i>Saehyung Lee et al., ICML 2022</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/lee2022dataset.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2202.02916">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/SJShin-AI/LCMat">Loss-Curvature Matching for Dataset Selection and Condensation</a></p>
							<p class="title-medium essay-author"><i>Seungjae Shin & Heesun Bae et al., AISTATS 2023</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/shin2023lcmat.txt">
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							<a href="https://arxiv.org/abs/2303.04449">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/AngusDujw/FTD-distillation">Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Jiawei Du & Yidi Jiang et al., CVPR 2023</i></p>
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							<a href="https://arxiv.org/abs/2211.11004">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/justincui03/tesla">Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory </a></p>
							<p class="title-medium essay-author"><i>Justin Cui et al., ICML 2023</i></p>
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							<a href="https://arxiv.org/abs/2211.10586">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/shqii1j/seqmatch">Sequential Subset Matching for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Jiawei Du et al., NeurIPS 2023</i></p>
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							<a href="https://arxiv.org/abs/2311.01570">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/GzyAftermath/DATM">Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching</a></p>
							<p class="title-medium essay-author"><i>Ziyao Guo & Kai Wang et al., ICLR 2024</i></p>
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							<a href="https://gzyaftermath.github.io/DATM/">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/guo2024datm.txt">
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							<a href="https://arxiv.org/abs/2310.05773">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Yongalls/SelMatch">SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching</a></p>
							<p class="title-medium essay-author"><i>Yongmin Lee et al., ICML 2024</i></p>
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							<a href="https://arxiv.org/abs/2406.18561">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/NiaLiu/ATT">Dataset Distillation by Automatic Training Trajectories</a></p>
							<p class="title-medium essay-author"><i>Dai Liu et al., ECCV 2024</i></p>
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							<a href="https://arxiv.org/abs/2407.14245">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/slyang2021/NSD">Neural Spectral Decomposition for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Shaolei Yang et al., ECCV 2024</i></p>
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							<a href="https://arxiv.org/abs/2408.16236">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/NUS-HPC-AI-Lab/PAD">Prioritize Alignment in Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Zekai Li & Ziyao Guo et al., 2024</i></p>
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							<a href="https://arxiv.org/abs/2408.03360">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/NUS-HPC-AI-Lab/EDF">Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios</a></p>
							<p class="title-medium essay-author"><i>Kai Wang & Zekai Li et al., 2024</i></p>
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							<a href="https://arxiv.org/abs/2410.17193">
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					<li>
						<h4 class="section-subtitle title-large on-background-text" id="distribution">Distribution/Feature Matching Surrogate Objective</h4>
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/kaiwang960112/cafe">CAFE: Learning to Condense Dataset by Aligning Features</a></p>
							<p class="title-medium essay-author"><i>Kai Wang & Bo Zhao et al., CVPR 2022</i></p>
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							<a href="https://arxiv.org/abs/2203.01531">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VICO-UoE/DatasetCondensation">Dataset Condensation with Distribution Matching</a></p>
							<p class="title-medium essay-author"><i>Bo Zhao et al., WACV 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2023distribution.txt">
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							<a href="https://arxiv.org/abs/2110.04181">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/uitrbn/IDM">Improved Distribution Matching for Dataset Condensation</a></p>
							<p class="title-medium essay-author"><i>Ganlong Zhao et al., CVPR 2023</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2023idm.txt">
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							<a href="https://arxiv.org/abs/2307.09742">
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/DataDistillation/DataDAM">DataDAM: Efficient Dataset Distillation with Attention Matching</a></p>
							<p class="title-medium essay-author"><i>Ahmad Sajedi & Samir Khaki et al., ICCV 2023</i></p>
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						<div class="button-group">
							<a href="https://datadistillation.github.io/DataDAM/">
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							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sajedi2023datadam.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2310.00093">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Distillation via the Wasserstein Metric</p>
							<p class="title-medium essay-author"><i>Haoyang Liu et al., 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2023wasserstein.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							<a href="https://arxiv.org/abs/2311.18531">
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Hansong-Zhang/M3D">M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy </a></p>
							<p class="title-medium essay-author"><i>Hansong Zhang & Shikun Li et al., AAAI 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2024m3d.txt">
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							<a href="https://arxiv.org/abs/2312.15927">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VincenDen/IID">Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Wenxiao Deng et al., CVPR 2024</i></p>
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							<a href="https://arxiv.org/abs/2404.00563">
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						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Condensation with Latent Quantile Matching</p>
							<p class="title-medium essay-author"><i>Wei Wei et al., CVPR 2024 Workshop</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wei2024lqm.txt">
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							<a href="https://openaccess.thecvf.com/content/CVPR2024W/DDCV/html/Wei_Dataset_Condensation_with_Latent_Quantile_Matching_CVPRW_2024_paper.html">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Hansong-Zhang/DANCE">DANCE: Dual-View Distribution Alignment for Dataset Condensation</a></p>
							<p class="title-medium essay-author"><i>Hansong Zhang et al., IJCAI 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2024dance.txt">
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							<a href="https://arxiv.org/abs/2406.01063">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Li-Hongcheng/DSDM">Diversified Semantic Distribution Matching for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Hongcheng Li et al., MM 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024dsdm.txt">
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							<a href="https://dl.acm.org/doi/10.1145/3664647.3680900">
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					<li>
						<h4 class="section-subtitle title-large on-background-text" id="kernel">Kernel-Based Distillation</h4>
					</li>

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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/google/neural-tangents">Dataset Meta-Learning from Kernel Ridge-Regression</a></p>
							<p class="title-medium essay-author"><i>Timothy Nguyen et al., ICLR 2021</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/nguyen2021kip.txt">
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							<a href="https://arxiv.org/abs/2011.00050">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/google/neural-tangents">Dataset Distillation with Infinitely Wide Convolutional Networks</a></p>
							<p class="title-medium essay-author"><i>Timothy Nguyen et al., NeurIPS 2021</i></p>
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							<a href="https://arxiv.org/abs/2107.13034">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/yongchao97/FRePo">Dataset Distillation using Neural Feature Regression</a></p>
							<p class="title-medium essay-author"><i>Yongchao Zhou et al., NeurIPS 2022</i></p>
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							<a href="https://sites.google.com/view/frepo">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhou2022dataset.txt">
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							<a href="https://arxiv.org/abs/2206.00719">
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/yolky/RFAD">Efficient Dataset Distillation using Random Feature Approximation</a></p>
							<p class="title-medium essay-author"><i>Noel Loo et al., NeurIPS 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/loo2022efficient.txt">
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							<a href="https://arxiv.org/abs/2210.12067">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/yolky/RCIG">Dataset Distillation with Convexified Implicit Gradients </a></p>
							<p class="title-medium essay-author"><i>Noel Loo et al., ICML 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/loo2023dataset.txt">
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							<a href="https://arxiv.org/abs/2302.06755">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Provable and Efficient Dataset Distillation for Kernel Ridge Regression</p>
							<p class="title-medium essay-author"><i>Yilan Chen et al., NeurIPS 2024</i></p>
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							<a href="https://openreview.net/forum?id=WI2VpcBdnd">
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					<li>
						<h4 class="section-subtitle title-large on-background-text" id="parametrization">Distilled Dataset Parametrization</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/snu-mllab/efficient-dataset-condensation">Dataset Condensation via Efficient Synthetic-Data Parameterization</a></p>
							<p class="title-medium essay-author"><i>Jang-Hyun Kim et al., ICML 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/kim2022dataset.txt">
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							<a href="https://arxiv.org/abs/2205.14959">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/princetonvisualai/RememberThePast-DatasetDistillation">Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks</a></p>
							<p class="title-medium essay-author"><i>Zhiwei Deng et al., NeurIPS 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/deng2022remember.txt">
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							<a href="https://arxiv.org/abs/2206.02916">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/balhaekim/bpc-divergences">On Divergence Measures for Bayesian Pseudocoresets</a></p>
							<p class="title-medium essay-author"><i>Balhae Kim et al., NeurIPS 2022</i></p>
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							<a href="https://arxiv.org/abs/2210.06205">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Huage001/DatasetFactorization">Dataset Distillation via Factorization</a></p>
							<p class="title-medium essay-author"><i>Songhua Liu et al., NeurIPS 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2022dataset.txt">
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							<a href="https://arxiv.org/abs/2210.16774">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/UCDvision/PRANC">PRANC: Pseudo RAndom Networks for Compacting Deep Models</a></p>
							<p class="title-medium essay-author"><i>Parsa Nooralinejad et al., 2022</i></p>
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							<a href="https://arxiv.org/abs/2206.08464">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content">Dataset Condensation with Latent Space Knowledge Factorization and Sharing</p>
							<p class="title-medium essay-author"><i>Hae Beom Lee & Dong Bok Lee et al., 2022</i></p>
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							<a href="https://arxiv.org/abs/2208.10494">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content">Slimmable Dataset Condensation</p>
							<p class="title-medium essay-author"><i>Songhua Liu et al., CVPR 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2023slimmable.txt">
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							<a href="https://openaccess.thecvf.com/content/CVPR2023/html/Liu_Slimmable_Dataset_Condensation_CVPR_2023_paper.html">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Few-Shot Dataset Distillation via Translative Pre-Training</p>
							<p class="title-medium essay-author"><i>Songhua Liu et al., ICCV 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2023fewshot.txt">
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							<a href="https://openaccess.thecvf.com/content/ICCV2023/html/Liu_Few-Shot_Dataset_Distillation_via_Translative_Pre-Training_ICCV_2023_paper.html">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">MGDD: A Meta Generator for Fast Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Songhua Liu et al., NeurIPS 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2023mgdd.txt">
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							<a href="https://openreview.net/forum?id=D9CMRR5Lof">
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						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/MIV-XJTU/SPEED">Sparse Parameterization for Epitomic Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Xing Wei & Anjia Cao et al., NeurIPS 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wei2023sparse.txt">
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							</a>
							<a href="https://openreview.net/forum?id=ZIfhYAE2xg">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/sdh0818/FreD">Frequency Domain-based Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Donghyeok Shin & Seungjae Shin et al., NeurIPS 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/shin2023fred.txt">
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							</a>
							<a href="https://arxiv.org/abs/2311.08819">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation</p>
							<p class="title-medium essay-author"><i>Haizhong Zheng et al., ECCV 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zheng2024hmn.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2310.07506">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/cvlab-yonsei/FYI">FYI: Flip Your Images for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Byunggwan Son et al., ECCV 2024</i></p>
						</div>
						<div class="button-group">
							<a href="https://cvlab.yonsei.ac.kr/projects/FYI/">
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									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
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							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/son2024fyi.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2407.08113">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/KeViNYuAn0314/AutoPalette">Color-Oriented Redundancy Reduction in Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Bowen Yuan et al., NeurIPS 2024</i></p>
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						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/yuan2024color.txt">
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							<a href="https://arxiv.org/abs/2411.11329">
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							</a>
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					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="generative">Generative Distillation</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/vico-uoe/it-gan">Synthesizing Informative Training Samples with GAN</a></p>
							<p class="title-medium essay-author"><i>Bo Zhao et al., NeurIPS 2022 Workshop</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2022synthesizing.txt">
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							</a>
							<a href="https://arxiv.org/abs/2204.07513">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/georgecazenavette/glad">Generalizing Dataset Distillation via Deep Generative Prior</a></p>
							<p class="title-medium essay-author"><i>George Cazenavette et al., CVPR 2023</i></p>
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						<div class="button-group">
							<a href="https://georgecazenavette.github.io/glad/">
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									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cazenavette2023glad.txt">
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							</a>
							<a href="https://arxiv.org/abs/2305.01649">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/vimar-gu/DiM">DiM: Distilling Dataset into Generative Model </a></p>
							<p class="title-medium essay-author"><i>Kai Wang & Jianyang Gu et al., 2023</i></p>
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						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wang2023dim.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2303.04707">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Condensation via Generative Model</p>
							<p class="title-medium essay-author"><i>Junhao Zhang et al., 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2023dc.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2309.07698">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/vimar-gu/MinimaxDiffusion">Efficient Dataset Distillation via Minimax Diffusion</a></p>
							<p class="title-medium essay-author"><i>Jianyang Gu et al., CVPR 2024</i></p>
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						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/gu2024efficient.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2311.15529">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/suduo94/D4M">D4M: Dataset Distillation via Disentangled Diffusion Model</a></p>
							<p class="title-medium essay-author"><i>Duo Su & Junjie Hou et al., CVPR 2024</i></p>
						</div>
						<div class="button-group">
							<a href="https://junjie31.github.io/D4M/">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/su2024d4m.txt">
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							</a>
							<a href="https://arxiv.org/abs/2407.15138">
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Generative Dataset Distillation: Balancing Global Structure and Local Details</p>
							<p class="title-medium essay-author"><i>Longzhen Li & Guang Li et al., CVPR 2024 Workshop</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024generative.txt">
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							<a href="https://arxiv.org/abs/2404.17732">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Data-to-Model Distillation: Data-Efficient Learning Framework</p>
							<p class="title-medium essay-author"><i>Ahmad Sajedi & Samir Khaki et al., ECCV 2024</i></p>
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							<a href="https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/6020_ECCV_2024_paper.php">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Guang000/Generative-Dataset-Distillation-Based-on-Diffusion-Model">Generative Dataset Distillation Based on Diffusion Models</a></p>
							<p class="title-medium essay-author"><i>Duo Su & Junjie Hou & Guang Li et al., ECCV 2024 Workshop</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/su2024diffusion.txt">
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							<a href="https://arxiv.org/abs/2408.08610">
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					</li>
                    <li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Latent Dataset Distillation with Diffusion Models</p>
							<p class="title-medium essay-author"><i>Brian B. Moser & Federico Raue et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/moser2024ld3m.txt">
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							<a href="https://arxiv.org/abs/2403.03881">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ndhg1213/H-GLaD">Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Xinhao Zhong & Hao Fang et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhong2024hglad.txt">
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							<a href="https://arxiv.org/abs/2406.05704">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">FocusDD: Real-World Scene Infusion for Robust Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Youbin Hu et al., 2025</i></p>
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							<a href="https://arxiv.org/abs/2501.06405">
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					<li>
						<h4 class="section-subtitle title-large on-background-text" id="better-optimization">Better Optimization</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ncsu-dk-lab/Acc-DD">Accelerating Dataset Distillation via Model Augmentation</a></p>
							<p class="title-medium essay-author"><i>Lei Zhang & Jie Zhang et al., CVPR 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2023accelerating.txt">
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							<a href="https://arxiv.org/abs/2212.06152">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/lyq312318224/DREAM">DREAM: Efficient Dataset Distillation by Representative Matching</a></p>
							<p class="title-medium essay-author"><i>Yanqing Liu & Jianyang Gu & Kai Wang et al., ICCV 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2023dream.txt">
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							<a href="https://arxiv.org/abs/2302.14416">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/he-y/you-only-condense-once">You Only Condense Once: Two Rules for Pruning Condensed Datasets</a></p>
							<p class="title-medium essay-author"><i>Yang He et al., NeurIPS 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/he2023yoco.txt">
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							<a href="https://arxiv.org/abs/2310.14019">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">MIM4DD: Mutual Information Maximization for Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Yuzhang Shang et al., NeurIPS 2023</i></p>
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							<a href="https://arxiv.org/abs/2312.16627">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/yaolu-zjut/DDInterpreter">Can Pre-Trained Models Assist in Dataset Distillation? </a></p>
							<p class="title-medium essay-author"><i>Yao Lu et al., 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/lu2023pre.txt">
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							<a href="https://arxiv.org/abs/2310.03295">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/lyq312318224/DREAM">DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching</a></p>
							<p class="title-medium essay-author"><i>Yanqing Liu & Jianyang Gu & Kai Wang et al., 2023</i></p>
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							<a href="https://arxiv.org/abs/2310.15052">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Distillation in Latent Space</p>
							<p class="title-medium essay-author"><i>Yuxuan Duan et al., 2023</i></p>
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							<a href="https://arxiv.org/abs/2311.15547">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VITA-Group/ProgressiveDD">Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality</a></p>
							<p class="title-medium essay-author"><i>Xuxi Chen & Yu Yang et al., ICLR 2024</i></p>
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							<a href="https://arxiv.org/abs/2310.06982">
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						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/fengyzpku/Simple_Dataset_Distillation">Embarassingly Simple Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Yunzhen Feng et al., ICLR 2024</i></p>
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							<a href="https://arxiv.org/abs/2311.07025">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/he-y/Multisize-Dataset-Condensation">Multisize Dataset Condensation</a></p>
							<p class="title-medium essay-author"><i>Yang He et al., ICLR 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/he2024mdc.txt">
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							<a href="https://arxiv.org/abs/2403.06075">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/yolky/d3s_distillation">Large Scale Dataset Distillation with Domain Shift</a></p>
							<p class="title-medium essay-author"><i>Noel Loo & Alaa Maalouf et al., ICML 2024</i></p>
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							<a href="https://openreview.net/forum?id=0FWPKHMCSc">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/silicx/GoldFromOres">Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Yue Xu et al., ECCV 2024</i></p>
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							<a href="https://arxiv.org/abs/2305.18381">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/khu-agi/hmdc">Towards Model-Agnostic Dataset Condensation by Heterogeneous Models</a></p>
							<p class="title-medium essay-author"><i>Jun-Yeong Moon et al., ECCV 2024</i></p>
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							<a href="https://arxiv.org/abs/2409.14538">
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							<p class="essay-content">Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching</p>
							<p class="title-medium essay-author"><i>Ruonan Yu et al., ECCV 2024</i></p>
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							<a href="https://arxiv.org/abs/2410.07579">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/zhouzhengqd/BACON">BACON: Bayesian Optimal Condensation Framework for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Zheng Zhou et al., 2024</i></p>
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							<a href="https://arxiv.org/abs/2406.01112">
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							<p class="essay-content">Going Beyond Feature Similarity: Effective Dataset Distillation based on Class-aware Conditional Mutual Information</p>
							<p class="title-medium essay-author"><i>Xinhao Zhong et al., ICLR 2025</i></p>
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							<a href="https://arxiv.org/abs/2412.09945">
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					<li>
						<h4 class="section-subtitle title-large on-background-text" id="better-understanding">Better Understanding</h4>
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/Optimizing_Millions_of_Hyperparameters_by_Implicit_Differentiation">Optimizing Millions of Hyperparameters by Implicit Differentiation</a></p>
							<p class="title-medium essay-author"><i>Jonathan Lorraine et al., AISTATS 2020</i></p>
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							<a href="https://arxiv.org/abs/1911.02590">
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							<p class="essay-content">On Implicit Bias in Overparameterized Bilevel Optimization</p>
							<p class="title-medium essay-author"><i>Paul Vicol et al., ICML 2022</i></p>
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							<a href="https://proceedings.mlr.press/v162/vicol22a.html">
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">On the Size and Approximation Error of Distilled Sets</p>
							<p class="title-medium essay-author"><i>Alaa Maalouf & Murad Tukan et al., NeurIPS 2023</i></p>
						</div>
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							</a>
							<a href="https://arxiv.org/abs/2305.14113">
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">A Theoretical Study of Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Zachary Izzo et al., NeurIPS 2023 Workshop</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/izzo2023theo.txt">
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							</a>
							<a href="https://openreview.net/forum?id=dq5QGXGxoJ">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/princetonvisualai/What-is-Dataset-Distillation-Learning">What is Dataset Distillation Learning?</a></p>
							<p class="title-medium essay-author"><i>William Yang et al., ICML 2024</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/yang2024learning.txt">
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							</a>
							<a href="https://arxiv.org/abs/2406.04284">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Mitigating Bias in Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Justin Cui et al., ICML 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cui2024bias.txt">
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							<a href="https://arxiv.org/abs/2406.06609">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning</p>
							<p class="title-medium essay-author"><i>Vyacheslav Kungurtsev et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/kungurtsev2024first.txt">
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							</a>
							<a href="https://arxiv.org/abs/2409.01410">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Shaobo Wang et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wang2024samples.txt">
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							<a href="https://arxiv.org/abs/2408.12483">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Distillation as Pushforward Optimal Quantization</p>
							<p class="title-medium essay-author"><i>Hongye Tan et al., 2025</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/tan2025optimal.txt">
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							<a href="https://arxiv.org/abs/2501.07681">
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							</a>
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					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="label">Label Distillation</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ondrejbohdal/label-distillation">Flexible Dataset Distillation: Learn Labels Instead of Images</a></p>
							<p class="title-medium essay-author"><i>Ondrej Bohdal et al., NeurIPS 2020 Workshop</i></p>
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							</a>
							<a href="https://arxiv.org/abs/2006.08572">
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							</a>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ilia10000/dataset-distillation">Soft-Label Dataset Distillation and Text Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Ilia Sucholutsky et al., IJCNN 2021</i></p>
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							</a>
							<a href="https://arxiv.org/abs/1910.02551">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/sunnytqin/no-distillation">A Label is Worth a Thousand Images in Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Tian Qin et al., NeurIPS 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/qin2024label.txt">
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							</a>
							<a href="https://arxiv.org/abs/2406.10485">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/he-y/soft-label-pruning-for-dataset-distillation">Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?</a></p>
							<p class="title-medium essay-author"><i>Lingao Xiao et al., NeurIPS 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/xiao2024soft.txt">
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							</a>
							<a href="https://arxiv.org/abs/2410.15919">
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Label-Augmented Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Seoungyoon Kang & Youngsun Lim et al., WACV 2025</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/kang2024label.txt">
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							</a>
							<a href="https://arxiv.org/abs/2409.16239">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">DRUPI: Dataset Reduction Using Privileged Information</p>
							<p class="title-medium essay-author"><i>Shaobo Wang et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wang2024drupi.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2410.01611">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="quantization">Dataset Quantization</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/magic-research/Dataset_Quantization">Dataset Quantization</a></p>
							<p class="title-medium essay-author"><i>Daquan Zhou & Kai Wang & Jianyang Gu et al., ICCV 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhou2023dataset.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2308.10524">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ichbill/DQAS">Dataset Quantization with Active Learning based Adaptive Sampling</a></p>
							<p class="title-medium essay-author"><i>Zhenghao Zhao et al., ECCV 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2024dqas.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2407.07268">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="decouple">Decoupled Distillation</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VILA-Lab/SRe2L/tree/main/SRe2L">Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective</a></p>
							<p class="title-medium essay-author"><i>Zeyuan Yin & Zhiqiang Shen et al., NeurIPS 2023</i></p>
						</div>
						<div class="button-group">
							<a href="https://zeyuanyin.github.io/projects/SRe2L/">
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									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/yin2023sre2l.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2306.13092">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VILA-Lab/SRe2L/tree/main/CDA">Dataset Distillation via Curriculum Data Synthesis in Large Data Era</a></p>
							<p class="title-medium essay-author"><i>Zeyuan Yin et al., TMLR 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/yin2024cda.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2311.18838">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/shaoshitong/G_VBSM_Dataset_Condensation">Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching</a></p>
							<p class="title-medium essay-author"><i>Shitong Shao et al., CVPR 2024</i></p>
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						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/shao2024gvbsm.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2311.17950">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/LINs-lab/RDED">On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm</a></p>
							<p class="title-medium essay-author"><i>Peng Sun et al., CVPR 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sun2024rded.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2312.03526">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Information Compensation: A Fix for Any-scale Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Peng Sun et al., ICLR 2024 Workshop</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sun2024lic.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://openreview.net/forum?id=2SnmKd1JK4">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/shaoshitong/EDC">Elucidating the Design Space of Dataset Condensation</a></p>
							<p class="title-medium essay-author"><i>Shitong Shao et al., NeurIPS 2024</i></p>
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						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/shao2024edc.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2404.13733">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/AngusDujw/Diversity-Driven-Synthesis">Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment</a></p>
							<p class="title-medium essay-author"><i>Jiawei Du et al., NeurIPS 2024</i></p>
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						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/du2024diversity.txt">
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							</a>
							<a href="https://arxiv.org/abs/2409.17612">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Curriculum Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Zhiheng Ma & Anjia Cao et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/ma2024cudd.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							<a href="https://arxiv.org/abs/2405.09150">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VILA-Lab/DELT">DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Zhiqiang Shen & Ammar Sherif et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/shen2024delt.txt">
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							</a>
							<a href="https://arxiv.org/abs/2411.19946">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator</p>
							<p class="title-medium essay-author"><i>Xin Zhang et al., ICLR 2025</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2025infer.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2408.06927">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Jiacheng8/CV-DD">Dataset Distillation via Committee Voting</a></p>
							<p class="title-medium essay-author"><i>Jiacheng Cui et al., 2025</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cui2025cvdd.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2501.07575">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="multimodal">Multimodal Distillation</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/princetonvisualai/multimodal_dataset_distillation">Vision-Language Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Xindi Wu et al., TMLR 2024</i></p>
						</div>
						<div class="button-group">
							<a href="https://princetonvisualai.github.io/multimodal_dataset_distillation/">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wu2024multi.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2308.07545">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/silicx/LoRS_Distill">Low-Rank Similarity Mining for Multimodal Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Yue Xu et al., ICML 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/xu2024lors.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2406.03793">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/sakshamsingh1/AVDD">Audio-Visual Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Saksham Singh Kushwaha et al., TMLR 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/kush2024avdd.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://openreview.net/forum?id=IJlbuSrXmk">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="self">Self-Supervised Distillation</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/db-Lee/selfsup_dd">Self-Supervised Dataset Distillation for Transfer Learning</a></p>
							<p class="title-medium essay-author"><i>Dong Bok Lee & Seanie Lee et al., ICLR 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/lee2024self.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2310.06511">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/LINs-lab/ReLA">Efficiency for Free: Ideal Data Are Transportable Representations</a></p>
							<p class="title-medium essay-author"><i>Peng Sun et al., NeurIPS 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sun2024rela.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2405.14669">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/VILA-Lab/SRe2L/tree/main/SCDD/">Self-supervised Dataset Distillation: A Good Compression Is All You Need</a></p>
							<p class="title-medium essay-author"><i>Muxin Zhou et al., 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhou2024self.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2404.07976">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks</p>
							<p class="title-medium essay-author"><i>Siddharth Joshi et al., ICLR 2025</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/joshi2025kd.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2410.02116">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="benchmark">Benchmark</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/justincui03/dc_benchmark">DC-BENCH: Dataset Condensation Benchmark</a></p>
							<p class="title-medium essay-author"><i>Justin Cui et al., NeurIPS 2022</i></p>
						</div>
						<div class="button-group">
							<a href="https://dc-bench.github.io/">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cui2022dc.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2207.09639">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness</p>
							<p class="title-medium essay-author"><i>Zongxiong Chen & Jiahui Geng et al., 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chen2023study.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2305.03355">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/FredWU-HUST/DD-RobustBench">DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Yifan Wu et al., 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wu2024robust.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2403.13322">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/zhouzhengqd/BEARD/">BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Zheng Zhou et al., 2024</i></p>
						</div>
						<div class="button-group">
							<a href="https://beard-leaderboard.github.io/">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhou2024beard.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2411.09265">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="survey">Survey</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Data Distillation: A Survey</p>
							<p class="title-medium essay-author"><i>Noveen Sachdeva et al., TMLR 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sachdeva2023survey.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2301.04272">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Guang000/Awesome-Dataset-Distillation">A Survey on Dataset Distillation: Approaches, Applications and Future Directions</a></p>
							<p class="title-medium essay-author"><i>Jiahui Geng & Zongxiong Chen et al., IJCAI 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/geng2023survey.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2305.01975">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Guang000/Awesome-Dataset-Distillation">A Comprehensive Survey to Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Shiye Lei et al., TPAMI 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/nooralinejad2022pranc.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2301.05603">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Guang000/Awesome-Dataset-Distillation">Dataset Distillation: A Comprehensive Review</a></p>
							<p class="title-medium essay-author"><i>Ruonan Yu & Songhua Liu et al., TPAMI 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/yu2023review.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2301.07014">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="phd">Ph.D. Thesis</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Data-efficient Neural Network Training with Dataset Condensation</p>
							<p class="title-medium essay-author"><i>Bo Zhao, The University of Edinburgh 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2023thesis.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://era.ed.ac.uk/handle/1842/39756">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="workshop">Workshop</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">1st CVPR Workshop on Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Saeed Vahidian et al., CVPR 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<span class="placeholder"></span>
							<a href="https://sites.google.com/view/dd-cvpr2024/home">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
						</div>
					</li>

					<li>
						<h4 class="section-subtitle title-large on-background-text" id="challenge">Challenge</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/DataDistillation/ECCV2024-Dataset-Distillation-Challenge">The First Dataset Distillation Challenge</a></p>
							<p class="title-medium essay-author"><i>Kai Wang & Ahmad Sajedi et al., ECCV 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<span class="placeholder"></span>
							<a href="https://www.dd-challenge.com/">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
						</div>
					</li>

<!--Application Contents-->
					<li><h3 class="section-title headline-medium on-background-text" id="applications">Applications</h3></li>

					<li>
						<h4 class="section-subtitle title-large on-background-text" id="continual">Continual Learning</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Reducing Catastrophic Forgetting with Learning on Synthetic Data</p>
							<p class="title-medium essay-author"><i>Wojciech Masarczyk et al., CVPR 2020 Workshop</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/masarczyk2020reducing.txt">
								<span class="essay-button surface">
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								</span>
							</a>
							<a href="https://arxiv.org/abs/2004.14046">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/FelixWiewel/CCMCL">Condensed Composite Memory Continual Learning</a></p>
							<p class="title-medium essay-author"><i>Felix Wiewel et al., IJCNN 2021</i></p>
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							<a href="https://arxiv.org/abs/2102.09890">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/andrearosasco/DistilledReplay">Distilled Replay: Overcoming Forgetting through Synthetic Samples</a></p>
							<p class="title-medium essay-author"><i>Andrea Rosasco et al., IJCAI 2021 Workshop</i></p>
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							<a href="https://arxiv.org/abs/2103.15851">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/MattiaSangermano/OLCGM">Sample Condensation in Online Continual Learning</a></p>
							<p class="title-medium essay-author"><i>Mattia Sangermano et al., IJCNN 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sangermano2022sample.txt">
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							<a href="https://arxiv.org/abs/2206.11849">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/EnnengYang/An-Efficient-Dataset-Condensation-Plugin">An Efficient Dataset Condensation Plugin and Its Application to Continual Learning</a></p>
							<p class="title-medium essay-author"><i>Enneng Yang et al., NeurIPS 2023</i></p>
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							</a>
							<a href="https://openreview.net/forum?id=Murj6wcjRw">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/vimar-gu/SSD">Summarizing Stream Data for Memory-Restricted Online Continual Learning</a></p>
							<p class="title-medium essay-author"><i>Jianyang Gu et al., AAAI 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/gu2024ssd.txt">
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							<a href="https://arxiv.org/abs/2305.16645">
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					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="privacy">Privacy</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Privacy for Free: How does Dataset Condensation Help Privacy?</p>
							<p class="title-medium essay-author"><i>Tian Dong et al., ICML 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/dong2022privacy.txt">
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							<a href="https://arxiv.org/abs/2206.00240">
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						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/DingfanChen/Private-Set">Private Set Generation with Discriminative Information</a></p>
							<p class="title-medium essay-author"><i>Dingfan Chen et al., NeurIPS 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chen2022privacy.txt">
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							<a href="https://arxiv.org/abs/2211.04446">
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							<p class="essay-content">No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"</p>
							<p class="title-medium essay-author"><i>Nicholas Carlini et al., 2022</i></p>
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							<a href="https://arxiv.org/abs/2209.14987">
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						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/liuyugeng/baadd">Backdoor Attacks Against Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Yugeng Liu et al., NDSS 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2023backdoor.txt">
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							<a href="https://arxiv.org/abs/2301.01197">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/dpclip/dpclip">Differentially Private Kernel Inducing Points (DP-KIP) for Privacy-preserving Data Distillation</a></p>
							<p class="title-medium essay-author"><i>Margarita Vinaroz et al., 2023</i></p>
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							<a href="https://arxiv.org/abs/2301.13389">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Noel Loo et al., ICLR 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/loo2024attack.txt">
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							<a href="https://arxiv.org/abs/2302.01428">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective</p>
							<p class="title-medium essay-author"><i>Ming-Yu Chung et al., ICLR 2024</i></p>
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							<a href="https://arxiv.org/abs/2311.16646">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Differentially Private Dataset Condensation</p>
							<p class="title-medium essay-author"><i>Zheng et al., NDSS 2024 Workshop</i></p>
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							<a href="https://www.ndss-symposium.org/ndss-paper/auto-draft-542/">
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								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Adaptive Backdoor Attacks Against Dataset Distillation for Federated Learning</p>
							<p class="title-medium essay-author"><i>Ze Chai et al., ICC 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chai2024backdoor.txt">
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							</a>
							<a href="https://ieeexplore.ieee.org/abstract/document/10622462?casa_token=tHyZ-Pz7DpUAAAAA:vmCYI4cUcKzMluUsASHhIhr0CvBkjzBR-0N7REVj7aFN5hT5TinQTpSEsE0Bo3Fl8auh52Fipm_v">
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							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="medical">Medical</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Guang000/dataset-distillation">Soft-Label Anonymous Gastric X-ray Image Distillation</a></p>
							<p class="title-medium essay-author"><i>Guang Li et al., ICIP 2020</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2020soft.txt">
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							</a>
							<a href="https://arxiv.org/abs/2104.02857">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Guang000/dataset-distillation">Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing</a></p>
							<p class="title-medium essay-author"><i>Guang Li et al., CMPB 2022</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2022compressed.txt">
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							</a>
							<a href="https://arxiv.org/abs/2209.14635">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Guang000/mtt-distillation">Dataset Distillation for Medical Dataset Sharing</a></p>
							<p class="title-medium essay-author"><i>Guang Li et al., AAAI 2023 Workshop</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2023sharing.txt">
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							</a>
							<a href="https://r2hcai.github.io/AAAI-23/pages/accepted-papers.html">
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Yuchen Tian & Jiacheng Wang et al., MICCAI 2023 Workshop</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/tian2023gdd.txt">
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							<a href="https://link.springer.com/chapter/10.1007/978-3-031-47401-9_2">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Importance-Aware Adaptive Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Guang Li et al., NN 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024iadd.txt">
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							<a href="https://arxiv.org/abs/2401.15863">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ZheLi2020/InfoDist">Image Distillation for Safe Data Sharing in Histopathology</a></p>
							<p class="title-medium essay-author"><i>Zhe Li et al., MICCAI 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024infodist.txt">
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							<a href="https://arxiv.org/abs/2406.13536">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">MedSynth: Leveraging Generative Model for Healthcare Data Sharing</p>
							<p class="title-medium essay-author"><i>Renuga Kanagavelu et al., MICCAI 2024</i></p>
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							<a href="https://link.springer.com/chapter/10.1007/978-3-031-72390-2_61">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Progressive Trajectory Matching for Medical Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Zhen Yu et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/yu2024progressive.txt">
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							</a>
							<a href="https://arxiv.org/abs/2403.13469">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Distillation in Medical Imaging: A Feasibility Study</p>
							<p class="title-medium essay-author"><i>Muyang Li et al., 2024</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2024medical.txt">
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							</a>
							<a href="https://arxiv.org/abs/2407.14429">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset Distillation for Histopathology Image Classification</p>
							<p class="title-medium essay-author"><i>Cong Cong et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cong2024dataset.txt">
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							</a>
							<a href="https://arxiv.org/abs/2408.09709">
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							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="federated">Federated Learning</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Federated Learning via Synthetic Data</p>
							<p class="title-medium essay-author"><i>Jack Goetz et al., 2020</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/goetz2020federated.txt">
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							</a>
							<a href="https://arxiv.org/abs/2008.04489">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Distilled One-Shot Federated Learning</p>
							<p class="title-medium essay-author"><i>Yanlin Zhou et al., 2020</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhou2020distilled.txt">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/rayneholland/CollabDM">One-Shot Collaborative Data Distillation</a></p>
							<p class="title-medium essay-author"><i>William Holland et al., ECAI 2024</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/holland2024one.txt">
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							</a>
							<a href="https://arxiv.org/abs/2408.02266">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
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					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="graph-neural">Graph Neural Network</h4>
					</li>

					<li class="essay-container title-large error-container on-error-container-text">
						<div>
							<p class="essay-content">No further updates will be made regarding graph distillation topics as sufficient papers and summary projects are already available on the subject</p>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/HIPS/hypergrad">Graph Condensation for Graph Neural Networks</a></p>
							<p class="title-medium essay-author"><i>Wei Jin et al., ICLR 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/jin2022graph.txt">
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							</a>
							<a href="https://arxiv.org/abs/2110.07580">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/amazon-research/DosCond">Condensing Graphs via One-Step Gradient Matching</a></p>
							<p class="title-medium essay-author"><i>Wei Jin et al., KDD 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/jin2022condensing.txt">
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							</a>
							<a href="https://arxiv.org/abs/2206.07746">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Graph Condensation via Receptive Field Distribution Matching</p>
							<p class="title-medium essay-author"><i>Mengyang Liu et al., 2022</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2022graph.txt">
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							</a>
							<a href="https://arxiv.org/abs/2206.13697">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/pricexu/KIDD">Kernel Ridge Regression-Based Graph Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Zhe Xu et al., KDD 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/xu2023kidd.txt">
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							</a>
							<a href="https://dl.acm.org/doi/10.1145/3580305.3599398">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/amanda-zheng/sfgc">Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data</a></p>
							<p class="title-medium essay-author"><i>Xin Zheng et al., NeurIPS 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zheng2023sfgc.txt">
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							</a>
							<a href="https://arxiv.org/abs/2306.02664">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/RingBDStack/SGDD">Does Graph Distillation See Like Vision Dataset Counterpart?</a></p>
							<p class="title-medium essay-author"><i>Beining Yang & Kai Wang et al., NeurIPS 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/yang2023sgdd.txt">
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							<a href="https://arxiv.org/abs/2310.09192">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/superallen13/CaT-CGL">CaT: Balanced Continual Graph Learning with Graph Condensation</a></p>
							<p class="title-medium essay-author"><i>Liu Yilun et al., ICDM 2023</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2023cat.txt">
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							<a href="https://arxiv.org/abs/2309.09455">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/frigategnn/Mirage">Mirage: Model-Agnostic Graph Distillation for Graph Classification</a></p>
							<p class="title-medium essay-author"><i>Mridul Gupta & Sahil Manchanda et al., ICLR 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/gupta2024mirage.txt">
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							<a href="https://arxiv.org/abs/2310.09486">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/liuyang-tian/GDEM">Graph Distillation with Eigenbasis Matching</a></p>
							<p class="title-medium essay-author"><i>Yang Liu & Deyu Bo et al., ICML 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2024gdem.txt">
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							<a href="https://arxiv.org/abs/2310.09202">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/nus-hpc-ai-lab/geom">Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching</a></p>
							<p class="title-medium essay-author"><i>Yuchen Zhang & Tianle Zhang & Kai Wang et al., ICML 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2024geom.txt">
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							<a href="https://arxiv.org/abs/2402.05011">
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					<li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/zclzcl0223/GCSR">Graph Data Condensation via Self-expressive Graph Structure Reconstruction</a></p>
							<p class="title-medium essay-author"><i>Zhanyu Liu & Chaolv Zeng et al., KDD 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2024gcsr.txt">
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							<a href="https://arxiv.org/abs/2403.07294">
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                    <li class="essay-container title-large surface-variant on-surface-variant-text">
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							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/nus-hpc-ai-lab/ctrl">Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching</a></p>
							<p class="title-medium essay-author"><i>Tianle Zhang & Yuchen Zhang & Kai Wang et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2024ctrl.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2402.04924">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h5 class="section-subtitle title-large on-background-text">Graph Neural Network - Survey</h5>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Emory-Melody/awesome-graph-reduction">A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation</a></p>
							<p class="title-medium essay-author"><i>Mohammad Hashemi et al., IJCAI 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/hashemi2024awesome.txt">
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							</a>
							<a href="https://arxiv.org/abs/2402.03358">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/xygaog/graph-condensation-papers">Graph Condensation: A Survey</a></p>
							<p class="title-medium essay-author"><i>Xinyi Gao et al., 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/gao2024graph.txt">
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							</a>
							<a href="https://arxiv.org/abs/2401.11720">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Frostland12138/Awesome-Graph-Condensation">A Survey on Graph Condensation</a></p>
							<p class="title-medium essay-author"><i>Hongjia Xu et al., 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/xu2024survey.txt">
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							</a>
							<a href="https://arxiv.org/abs/2402.02000">
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								</span>
							</a>
						</div>
					</li>

					<li>
						<h5 class="section-subtitle title-large on-background-text">Graph Neural Network - Benchmark</h5>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/RingBDStack/GC-Bench">GC-Bench: An Open and Unified Benchmark for Graph Condensation</a></p>
							<p class="title-medium essay-author"><i>Qingyun Sun & Ziying Chen et al., 2024</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sun2024gcbench.txt">
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							<a href="https://arxiv.org/abs/2407.00615">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/superallen13/GCondenser">GCondenser: Benchmarking Graph Condensation</a></p>
							<p class="title-medium essay-author"><i>Yilun Liu et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2024gcondenser.txt">
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							<a href="https://arxiv.org/abs/2405.14246">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Emory-Melody/GraphSlim">GC-Bench: A Benchmark Framework for Graph Condensation with New Insights</a></p>
							<p class="title-medium essay-author"><i>Shengbo Gong & Juntong Ni et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/gong2024graphslim.txt">
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							<a href="https://arxiv.org/abs/2406.16715">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="neural-architecture">Neural Architecture Search</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/uber-research/GTN">Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data</a></p>
							<p class="title-medium essay-author"><i>Felipe Petroski Such et al., ICML 2020</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/such2020generative.txt">
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							</a>
							<a href="https://arxiv.org/abs/1912.07768">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/dm-medvedev/efficientdistillation">Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation</a></p>
							<p class="title-medium essay-author"><i>Dmitry Medvedev et al., AIST 2021</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/medvedev2021tabular.txt">
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							<a href="https://arxiv.org/abs/2203.08559">
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					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Calibrated Dataset Condensation for Faster Hyperparameter Search</p>
							<p class="title-medium essay-author"><i>Mucong Ding et al., 2024</i></p>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/ding2024hcdc.txt">
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							<a href="https://arxiv.org/abs/2405.17535">
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					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="fashion">Fashion, Art, and Design</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/georgecazenavette/mtt-distillation">Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>George Cazenavette et al., CVPR 2022 Workshop</i></p>
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							<a href="https://georgecazenavette.github.io/mtt-distillation/">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cazenavette2022textures.txt">
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							</a>
							<a href="https://openaccess.thecvf.com/content/CVPR2022W/CVFAD/html/Cazenavette_Wearable_ImageNet_Synthesizing_Tileable_Textures_via_Dataset_Distillation_CVPRW_2022_paper.html">
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								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Learning from Designers: Fashion Compatibility Analysis Via Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Yulan Chen et al., ICIP 2022</i></p>
						</div>
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chen2022fashion.txt">
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							</a>
							<a href="https://ieeexplore.ieee.org/document/9897234">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/HaowenGuan/Galaxy-Dataset-Distillation">Galaxy Dataset Distillation with Self-Adaptive Trajectory Matching</a></p>
							<p class="title-medium essay-author"><i>Haowen Guan et al., NeurIPS 2023 Workshop</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/guan2023galaxy.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2311.17967">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="recommender">Recommender Systems</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/noveens/distill_cf">Infinite Recommendation Networks: A Data-Centric Approach</a></p>
							<p class="title-medium essay-author"><i>Noveen Sachdeva et al., NeurIPS 2022</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/sachdeva2022data.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2206.02626">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Gradient Matching for Categorical Data Distillation in CTR Prediction</p>
							<p class="title-medium essay-author"><i>Chen Wang et al., RecSys 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wang2023cgm.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://dl.acm.org/doi/10.1145/3604915.3608769">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="blackbox">Blackbox Optimization</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ggchen1997/bdi">Bidirectional Learning for Offline Infinite-width Model-based Optimization</a></p>
							<p class="title-medium essay-author"><i>Can Chen et al., NeurIPS 2022</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chen2022bidirectional.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2209.07507">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/GGchen1997/BIB-ICML2023-Submission">Bidirectional Learning for Offline Model-based Biological Sequence Design</a></p>
							<p class="title-medium essay-author"><i>Can Chen et al., ICML 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chen2023bidirectional.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2301.02931">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="robustness">Robustness</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Can We Achieve Robustness from Data Alone?</p>
							<p class="title-medium essay-author"><i>Nikolaos Tsilivis et al., ICML 2022 Workshop</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/tsilivis2022robust.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2207.11727">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Towards Robust Dataset Learning</p>
							<p class="title-medium essay-author"><i>Yihan Wu et al., 2022</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wu2022towards.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2211.10752">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Rethinking Data Distillation: Do Not Overlook Calibration</p>
							<p class="title-medium essay-author"><i>Dongyao Zhu et al., ICCV 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhu2023calibration.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2307.12463">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Towards Trustworthy Dataset Distillation</p>
							<p class="title-medium essay-author"><i>Shijie Ma et al., PR 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/ma2024trustworthy.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2307.09165">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Towards Adversarially Robust Dataset Distillation by Curvature Regularization</p>
							<p class="title-medium essay-author"><i>Eric Xue et al., AAAI 2025</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/xue2025robust.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2403.10045">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Mming11/RobustDatasetDistillation">Group Distributionally Robust Dataset Distillation with Risk Minimization</a></p>
							<p class="title-medium essay-author"><i>Saeed Vahidian & Mingyu Wang & Jianyang Gu et al., ICLR 2025</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/vahidian2025group.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2402.04676">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="fairness">Fairness</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Fair Graph Distillation</p>
							<p class="title-medium essay-author"><i>Qizhang Feng et al., NeurIPS 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/feng2023fair.txt">
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								</span>
							</a>
							<a href="https://openreview.net/forum?id=xW0ayZxPWs">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">FairDD: Fair Dataset Distillation via Synchronized Matching</p>
							<p class="title-medium essay-author"><i>Qihang Zhou et al., 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhou2024fair.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2411.19623">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="textApplication">Text</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Data Distillation for Text Classification</p>
							<p class="title-medium essay-author"><i>Yongqi Li et al., 2021</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/li2021text.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2104.08448">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/arumaekawa/dataset-distillation-with-attention-labels">Dataset Distillation with Attention Labels for Fine-tuning BERT</a></p>
							<p class="title-medium essay-author"><i>Aru Maekawa et al., ACL 2023</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/maekawa2023text.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://aclanthology.org/2023.acl-short.12/">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/arumaekawa/DiLM">DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation</a></p>
							<p class="title-medium essay-author"><i>Aru Maekawa et al., NAACL 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/maekawa2024dilm.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2404.00264">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Textual Dataset Distillation via Language Model Embedding</p>
							<p class="title-medium essay-author"><i>Yefan Tao et al., EMNLP 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/tao2024textual.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://aclanthology.org/2024.findings-emnlp.733/">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="tabular">Tabular</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/dm-medvedev/dataset-distillation">New Properties of the Data Distillation Method When Working With Tabular Data</a></p>
							<p class="title-medium essay-author"><i>Dmitry Medvedev et al., AIST 2020</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/medvedev2020tabular.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2010.09839">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="retrieval">Retrieval</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching</p>
							<p class="title-medium essay-author"><i>Tao Feng & Jie Zhang et al., 2023</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/feng2023hash.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2305.18076">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="videoApplication">Video</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/yuz1wan/video_distillation">Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement</a></p>
							<p class="title-medium essay-author"><i>Ziyu Wang & Yue Xu et al., CVPR 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/wang2023dancing.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2312.00362">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Video Set Distillation: Information Diversification and Temporal Densifica</p>
							<p class="title-medium essay-author"><i>Yinjie Zhao et al., 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2024video.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2412.00111">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">A Large-Scale Study on Video Action Dataset Condensation</p>
							<p class="title-medium essay-author"><i>Yang Chen et al., 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/chen2024video.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2412.21197">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="domainAdaptation">Domain Adaptation</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Multi-Source Domain Adaptation Meets Dataset Distillation through Dataset Dictionary Learning</p>
							<p class="title-medium essay-author"><i>Montesuma et al., ICASSP 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/montesuma2024multi.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2309.07666">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>


					<li>
						<h4 class="section-subtitle title-large on-background-text" id="super-resolution">Super Resolution</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">GSDD: Generative Space Dataset Distillation for Image Super-resolution</p>
							<p class="title-medium essay-author"><i>Haiyu Zhang et al., AAAI 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhang2024super.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://ojs.aaai.org/index.php/AAAI/article/view/28534">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>


                    <li>
						<h4 class="section-subtitle title-large on-background-text" id="timeSeries">Time Series</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/zhyliu00/TimeSeriesCond">Dataset Condensation for Time Series Classification via Dual Domain Matching</a></p>
							<p class="title-medium essay-author"><i>Zhanyu Liu et al., KDD 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/liu2024time.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2403.07245">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/RafaDD/CondTSF">CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting</a></p>
							<p class="title-medium essay-author"><i>Jianrong Ding & Zhanyu Liu et al., NeurIPS 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/ding2024time.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://arxiv.org/abs/2406.02131">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/uestc-liuzq/STdistillation">Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching</a></p>
							<p class="title-medium essay-author"><i>Hao Miao et al., VLDB 2025</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/miao2025timedc.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2410.20905">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="speech">Speech</h4>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Dataset-Distillation Generative Model for Speech Emotion Recognition</p>
							<p class="title-medium essay-author"><i>Fabian Ritter-Gutierrez et al., Interspeech 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/fabian2024speech.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2406.02963">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="machineUnlearning">Machine Unlearning</h4>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Distilled Datamodel with Reverse Gradient Matching</p>
							<p class="title-medium essay-author"><i>Jingwen Ye et al., CVPR 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/ye2024datamodel.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2404.14006">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/algebraicdianuj/DC_U">Dataset Condensation Driven Machine Unlearning</a></p>
							<p class="title-medium essay-author"><i>Junaid Iqbal Khan, 2024</i></p>
						</div>
						<div class="button-group">
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							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/khan2024unlearning.txt">
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									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2402.00195">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="reinforcementLearning">Reinforcement Learning</h4>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/ggflow123/DDRL">Dataset Distillation for Offline Reinforcement Learning</a></p>
							<p class="title-medium essay-author"><i>Jonathan Light & Yuanzhe Liu et al., ICML 2024 Workshop</i></p>
						</div>
						<div class="button-group">
							<a href="https://datasetdistillation4rl.github.io/">
								<span class="essay-button surface">
									<svg class="icon" xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="M480-80q-82 0-155-31.5t-127.5-86Q143-252 111.5-325T80-480q0-83 31.5-155.5t86-127Q252-817 325-848.5T480-880q83 0 155.5 31.5t127 86q54.5 54.5 86 127T880-480q0 82-31.5 155t-86 127.5q-54.5 54.5-127 86T480-80Zm0-82q26-36 45-75t31-83H404q12 44 31 83t45 75Zm-104-16q-18-33-31.5-68.5T322-320H204q29 50 72.5 87t99.5 55Zm208 0q56-18 99.5-55t72.5-87H638q-9 38-22.5 73.5T584-178ZM170-400h136q-3-20-4.5-39.5T300-480q0-21 1.5-40.5T306-560H170q-5 20-7.5 39.5T160-480q0 21 2.5 40.5T170-400Zm216 0h188q3-20 4.5-39.5T580-480q0-21-1.5-40.5T574-560H386q-3 20-4.5 39.5T380-480q0 21 1.5 40.5T386-400Zm268 0h136q5-20 7.5-39.5T800-480q0-21-2.5-40.5T790-560H654q3 20 4.5 39.5T660-480q0 21-1.5 40.5T654-400Zm-16-240h118q-29-50-72.5-87T584-782q18 33 31.5 68.5T638-640Zm-234 0h152q-12-44-31-83t-45-75q-26 36-45 75t-31 83Zm-200 0h118q9-38 22.5-73.5T376-782q-56 18-99.5 55T204-640Z"/></svg>
								</span>
							</a>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/light2024rl.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2407.20299">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="long">Long-Tail</h4>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Distilling Long-tailed Datasets</p>
							<p class="title-medium essay-author"><i>Zhenghao Zhao & Haoxuan Wang et al., 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/zhao2024long.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2408.14506">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
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							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="noisy">Learning with Noisy Labels</h4>
					</li>
					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content"><a class="on-surface-variant-text" href="https://github.com/Kciiiman/DD_LNL">Dataset Distillers Are Good Label Denoisers In the Wild</a></p>
							<p class="title-medium essay-author"><i>Lechao Cheng et al., 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/cheng2024noisy.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
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							</a>
							<a href="https://arxiv.org/abs/2411.11924">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>



					<li>
						<h4 class="section-subtitle title-large on-background-text" id="object">Object Detection</h4>
					</li>

					<li class="essay-container title-large surface-variant on-surface-variant-text">
						<div>
							<p class="essay-content">Fetch and Forge: Efficient Dataset Condensation for Object Detection</p>
							<p class="title-medium essay-author"><i>Ding Qi et al., NeurIPS 2024</i></p>
						</div>
						<div class="button-group">
							<span class="placeholder"></span>
							<a href="https://github.com/Guang000/Awesome-Dataset-Distillation/blob/main/citations/qi2024dcod.txt">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24px" viewBox="0 0 24 24" width="24px"><path d="M0 0h24v24H0V0z" fill="none"/><path d="M18.62 18h-5.24l2-4H13V6h8v7.24L18.62 18zm-2-2h.76L19 12.76V8h-4v4h3.62l-2 4zm-8 2H3.38l2-4H3V6h8v7.24L8.62 18zm-2-2h.76L9 12.76V8H5v4h3.62l-2 4z"/></svg>
								</span>
							</a>
							<a href="https://openreview.net/forum?id=m8MElyzuwp">
								<span class="essay-button surface">
									<svg xmlns="http://www.w3.org/2000/svg" height="24" viewBox="0 -960 960 960" width="24"><path d="m720-120 160-160-56-56-64 64v-167h-80v167l-64-64-56 56 160 160ZM560 0v-80h320V0H560ZM240-160q-33 0-56.5-23.5T160-240v-560q0-33 23.5-56.5T240-880h280l240 240v121h-80v-81H480v-200H240v560h240v80H240Zm0-80v-560 560Z"/></svg>
								</span>
							</a>
						</div>
					</li>

				</ul>
			</div>

			<h2 class="section-title display-medium on-background-text">Media Coverage</h2>
			<div class="media-coverage-container">
				<div class="media-coverage-content-container title-large surface-variant on-surface-variant-text">
					<a class="on-surface-variant-text" href="https://twitter.com/TongzhouWang/status/1560043815204970497?cxt=HHwWgoCz9bPlsaYrAAAA"><p class="essay-content">Beginning of Awesome Dataset Distillation</p></a>
				</div>
				<div class="media-coverage-content-container title-large surface-variant on-surface-variant-text">
					<a class="on-surface-variant-text" href="https://www.libhunt.com/posts/874974-d-most-popular-ai-research-aug-2022-ranked-based-on-github-stars"><p class="essay-content">Most Popular AI Research Aug 2022</p></a>
				</div>
				<div class="media-coverage-content-container title-large surface-variant on-surface-variant-text">
					<a class="on-surface-variant-text" href="https://www.jiqizhixin.com/articles/2022-10-11-22"><p class="essay-content">一个项目帮你了解数据集蒸馏Dataset Distillation</p></a>
				</div>
				<div class="media-coverage-content-container title-large surface-variant on-surface-variant-text">
					<a class="on-surface-variant-text" href="https://mp.weixin.qq.com/s/__IjS0_FMpu35X9cNhNhPg"><p class="essay-content">浓缩就是精华：用大一统视角看待数据集蒸馏</p></a>
				</div>
			</div>
		</div>

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						<h3 class="page-footer-title headline-large on-background-text">Awesome Dataset Distillation</h3>
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								@misc{li2022awesome,
									author={Li, Guang and Zhao, Bo and Wang, Tongzhou},
									title={Awesome Dataset Distillation},
									howpublished={\url{https://github.com/Guang000/Awesome-Dataset-Distillation}},
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							<a class="primary-text" href="https://github.com/Tsili42">Nikolaos Tsilivis</a>,
							<a class="primary-text" href="https://github.com/ChandlerBang">Wei Jin</a>,
							<a class="primary-text" href="https://github.com/yongchao97">Yongchao Zhou</a>,
							<a class="primary-text" href="https://github.com/noveens">Noveen Sachdeva</a>,
							<a class="primary-text" href="https://github.com/GGchen1997">Can Chen</a>,
							<a class="primary-text" href="https://github.com/zhaoguangxiang">Guangxiang Zhao,</a>
							<a class="primary-text" href="https://github.com/LeavesLei">Shiye Lei</a>,
							<a class="primary-text" href="https://sites.google.com/site/sitexinchaowang/">Xinchao Wang</a>,
							<a class="primary-text" href="https://github.com/dm-medvedev">Dmitry Medvedev</a>,
							<a class="primary-text" href="https://github.com/SJShin-AI">Seungjae Shin</a>,
							<a class="primary-text" href="https://github.com/AngusDujw">Jiawei Du</a>,
							<a class="primary-text" href="https://github.com/Jiang-Yidi">Yidi Jiang</a>,
							<a class="primary-text" href="https://github.com/XindiWu">Xindi Wu</a>,
							<a class="primary-text" href="https://github.com/lgy0404">Guangyi Liu</a>,
							<a class="primary-text" href="https://github.com/superallen13">Yilun Liu</a>,
							<a class="primary-text" href="https://github.com/kaiwang960112">Kai Wang</a>,
							<a class="primary-text" href="https://github.com/silicx">Yue Xu</a>,
							<a class="primary-text" href="https://github.com/CAOANJIA">Anjia Cao</a>,
							<a class="primary-text" href="https://github.com/vimar-gu">Jianyang Gu</a>,
							<a class="primary-text" href="https://github.com/fengyzpku">Yuanzhen Feng</a>,
							<a class="primary-text" href="https://github.com/sp12138">Peng Sun</a>,
							<a class="primary-text" href="https://github.com/AhmadSajedii">Ahmad Sajedi</a>,
							<a class="primary-text" href="https://github.com/suizhihao">Zhihao Sui</a>,
							<a class="primary-text" href="https://github.com/yuz1wan">Ziyu Wang</a>,
							<a class="primary-text" href="https://github.com/Liu-Hy">Haoyang Liu</a>,
							<a class="primary-text" href="https://github.com/eddardd">Eduardo Montesuma</a>,
							<a class="primary-text" href="https://github.com/rockcor">Shengbo Gong</a>,
							<a class="primary-text" href="https://github.com/zhouzhengqd">Zheng Zhou</a>,
							<a class="primary-text" href="https://github.com/ichbill">Zhenghao Zhao</a>,
							<a class="primary-text" href="https://github.com/suduo94">Duo Su</a>,
							<a class="primary-text" href="https://github.com/tianzheng4">Tianhang Zheng</a>,
							<a class="primary-text" href="https://github.com/mashijie1028">Shijie Ma</a>,
							<a class="primary-text" href="https://github.com/WeiWeic6222848">Wei Wei</a>,
							<a class="primary-text" href="https://github.com/Hiter-Q">Yantai Yang</a>,
							<a class="primary-text" href="https://github.com/gszfwsb">Shaobo Wang</a>,
							<a class="primary-text" href="https://github.com/ndhg1213">Xinhao Zhong</a>,
							<a class="primary-text" href="https://github.com/szq0214">Zhiqiang Shen</a>,
							<a class="primary-text" href="https://github.com/thomascong121">Cong Cong</a>,
							<a class="primary-text" href="https://github.com/chunyinhuang">Chun-Yin Huang</a>,
							<a class="primary-text" href="https://github.com/NiaLiu">Dai Liu</a>
							<a class="primary-text" href="https://github.com/Lexie-YU">Ruonan Yu</a>,
							<a class="primary-text" href="https://github.com/rayneholland">William Holland</a>,
								and <a class="primary-text" href="https://github.com/sakshamsingh1">Saksham Singh Kushwaha</a>
								for their valuable suggestions and contributions.</p>
							<p class="page-footer-instruction body-large on-background-text">The <a class="primary-text" href="https://guang000.github.io/Awesome-Dataset-Distillation/">Homepage</a> of Awesome Dataset Distillation was designed by <a class="primary-text" href="https://lovelessg.github.io/">Longzhen Li</a> and maintained by <a class="primary-text" href="https://github.com/SumomoTaku">Mingzhuo Li</a></p>
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